Senior/Principal MachineLearningScientist - Causality London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue … functional assays, and machinelearning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment … extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity We are seeking an exceptional MachineLearningScientist with expertise in causal inference to help build the next generation of predictive, mechanism-aware models of cellular behaviour. Your work will be central to More ❯
breakthroughs, revolutionise maternal and early childhood health through precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in MachineLearning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour throughout pregnancy, enabling a holistic understanding of … as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline. They will have skills in deep learning for wearable data analysis. Experience of studying health data science and/or machinelearning for healthcare would be beneficial. This is a full time post … successful in this role, we are looking for candidates to have the following skills and experience: PhD in Bioinformatics, Computer Science or other closely related discipline Experience in deep learning with a focus on predictive modelling for healthcare applications using wearable data (e.g., physical activity, heart rate, heart rate variability, sleep patterns) Sufficient breadth or depth of specialist knowledge More ❯
MachineLearning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machinelearning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machinelearning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machinelearning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Enigma
MachineLearning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machinelearning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machinelearning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machinelearning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯
City of London, England, United Kingdom Hybrid / WFH Options
Enigma
MachineLearning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machinelearning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machinelearning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machinelearning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯
We are looking for multiple highly skilled machinelearning researchers with strong expertise in generative modeling to join an interdisciplinary team of machinelearning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machinelearning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯
Social network you want to login/join with: Customer Facing MachineLearningScientist, london col-narrow-left Client: Skills Alliance Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 23.05.2025 Expiry Date: 07.07.2025 col-wide Job Description: Requirements Essential Qualifications: MSc in Computational Science or MachineLearning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machinelearning techniques and tools, with an emphasis on real-world applications. Proficient in Python programming. Familiarity with data processing pipelines and cloud-based … to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machinelearning or computational biology. Experience in therapeutic or diagnostic development program #J-18808-Ljbffr More ❯
MachineLearningScientist – Rosalind About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machinelearning to drive disease understanding—from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering … team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives. The Opportunity As a MachineLearningScientist within the Rosalind team, you will design and apply advanced machinelearning techniques to DNA and genetic data. This role is ideal for More ❯
MachineLearning Scientists and Engineers: AI for Quantum Join to apply for the MachineLearning Scientists and Engineers: AI for Quantum role at Quantinuum Quantinuum is building a new AI team, currently comprising 14 employees, and is talent pooling for future roles. Please register your interest to be considered for upcoming opportunities. Note that responses may … and using quantum computers pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a MachineLearningScientist in the AI for Quantum team, your role involves designing ML experiments in collaboration with ML engineers and quantum scientists, developing tools and frameworks to … quantum stack. You will have access to Quantinuum’s top-tier quantum computers, with applications including circuit optimization, quantum algorithm design, and error mitigation or correction strategies. As a MachineLearning Engineer, you will utilize state-of-the-art methods alongside quantum scientists to solve problems such as circuit compilation, error-correcting code discovery, and demonstrating quantum advantage More ❯
poses numerous challenges. Modern AI methods show promise in tackling them, requiring quantum computing scientists to identify use cases and design experiments. Roles in the AI for Quantum Team MachineLearningScientist Design ML experiments in collaboration with ML engineers and quantum scientists. Lead the development of tools applying AI to quantum computing, with access to Quantinuum … s quantum computers. Applications include circuit optimization, quantum algorithm design, and error mitigation strategies. MachineLearning Engineer Use state-of-the-art methods with quantum scientists to solve problems in the quantum stack, such as circuit compilation and error correction, and explore quantum advantage by integrating quantum computers with AI systems. Responsibilities Research novel AI use cases for … Experience in applied AI for scientific problems. Previous quantum computing experience. Knowledge of quantum advantage literature. Desirable Skills Knowledge of quantum physics or related fields. Experience with large-scale machinelearning and high-performance computing. Benefits Work with a talented team, competitive package, equity, paid holidays, pension, flexible working, and parental benefits. About Quantinuum Quantinuum is a leading More ❯
London, England, United Kingdom Hybrid / WFH Options
Matterhorn
MachineLearningScientist (General Interest) Date: Aug 1, 2024 We are looking for a MachineLearningScientist in Bayesian Optimisation. You will be working closely with scientists in the materials space to build machinelearning models (OptApps) that will inform laboratory experimentation schedules, anywhere from complete-manual to fully self-driving. Responsibilities … ease of usability and interpretation. Validating the effectiveness of the models and tackling deeper research challenges, with the opportunity to publish. Minimum Requirements: You must have relevant experience in MachineLearning, specifically Bayesian Optimisation, at MSc/PhD level to complete the above work. Location: Hybrid/Oxford/London (anywhere in the UK) Matterhorn Studio is leading More ❯